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Technology as a Double-Edged Sword: From Behavior Prediction with UTAUT to Students' Outcomes Considering Personal Characteristics
ARTICLE

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Journal of Information Technology Education Volume 17, Number 1, ISSN 1547-9714

Abstract

Aim/Purpose: We aim to bring a better understanding of technology use in the educational context. More specifically, we investigate the determinants of webinar acceptance by university students and the effects of this acceptance on students' outcomes in the presence of personal characteristics such as anxiety, attitude, computer self-efficacy, and autonomy. Background: According to literature in information systems, understanding the determinants of technology use and their effect on outcomes can help ensure their effective deployment, which might yield productivity payoffs. Methodology: Data collection with an online quantitative questionnaire yielded to 377 valid responses from students enrolled in an undergraduate management information systems course. SPSS software allowed obtaining descriptive statistics and Smart-PLS was used for validity and hypotheses testing. Contribution: Previous studies assessed either the determinants of technology use or the effect of their use on students' outcomes, and often omitted to assess the role of personal characteristics. This research fulfills the gap about the scarcity of studies that link goals to intentions and behavior, while considering personal cognitive characteristics. Findings: Results showed that performance expectancy, social influence, facilitating conditions, and voluntariness of use explained the behavioral intention and webinar usage. Some of these relationships were direct and others were moderated. Satisfaction was the only student outcome affected by the use of webinars. Anxiety, attitude, and autonomy are the personal characteristics that exerted direct and moderating effects on the relationships between the main variables of the research model.

Citation

Khechine, H. & Lakhal, S. (2018). Technology as a Double-Edged Sword: From Behavior Prediction with UTAUT to Students' Outcomes Considering Personal Characteristics. Journal of Information Technology Education, 17(1), 63-102. Retrieved January 19, 2021 from .

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